Abstract

Decoy-state quantum key distribution (QKD) is undoubtedly the most efficient solution to handle multi-photon signals emitted by laser sources, and provides the same secret key rate scaling as ideal single-photon sources. It requires, however, that the phase of each emitted pulse is uniformly random. This might be difficult to guarantee in practice, due to inevitable device imperfections and/or the use of an external phase modulator for phase randomization in an active setup, which limits the possible selected phases to a finite set. Here, we investigate the security of decoy-state QKD when the phase is actively randomized by faulty devices, and show that this technique is quite robust to deviations from the ideal uniformly random scenario. For this, we combine a novel parameter estimation technique based on semi-definite programming, with the use of basis mismatched events, to tightly estimate the parameters that determine the achievable secret key rate. In doing so, we demonstrate that our analysis can significantly outperform previous results that address more restricted scenarios.

Details

Title
Secret key rate bounds for quantum key distribution with faulty active phase randomization
Author
Sixto, Xoel 1 ; Currás-Lorenzo, Guillermo 2 ; Tamaki, Kiyoshi 3 ; Curty, Marcos 1 

 University of Vigo, Vigo Quantum Communication Center, Vigo, Spain (GRID:grid.6312.6) (ISNI:0000 0001 2097 6738); University of Vigo, Escuela de Ingeniería de Telecomunicación, Department of Signal Theory and Communications, Vigo, Spain (GRID:grid.6312.6) (ISNI:0000 0001 2097 6738); University of Vigo, atlanTTic Research Center, Vigo, Spain (GRID:grid.6312.6) (ISNI:0000 0001 2097 6738) 
 University of Vigo, Vigo Quantum Communication Center, Vigo, Spain (GRID:grid.6312.6) (ISNI:0000 0001 2097 6738); University of Vigo, Escuela de Ingeniería de Telecomunicación, Department of Signal Theory and Communications, Vigo, Spain (GRID:grid.6312.6) (ISNI:0000 0001 2097 6738); University of Vigo, atlanTTic Research Center, Vigo, Spain (GRID:grid.6312.6) (ISNI:0000 0001 2097 6738); University of Toyama, Faculty of Engineering, Toyama, Japan (GRID:grid.267346.2) (ISNI:0000 0001 2171 836X) 
 University of Toyama, Faculty of Engineering, Toyama, Japan (GRID:grid.267346.2) (ISNI:0000 0001 2171 836X) 
Pages
53
Publication year
2023
Publication date
Dec 2023
Publisher
Springer Nature B.V.
e-ISSN
21960763
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2902167830
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.